Course Overview
Deep Learning Training Institute in Electronic City Bangalore Overview
Let eMexo Technologies Best Deep Learning Training in Electronic City Bangalore take you from the fundamentals of Deep Learning to Advance Deep Learning and make you an expert in developing real-time Deep Learning applications. Here are the major topics we cover under this Deep Learning course Syllabus Introduction to Deep Learning, Understanding the Neural Network with TensorFlow, Deep Dive into Neural Network with TensorFlow, Master Deep Networks, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM) and Autoencoders, Keras API, and TFLearn API. Each topic will be covered in a practical way with examples for our Deep Learning Course in Electronic City Bangalore.
All the topics will be covered with Practical and hands-on training. Our trainers have industry experience with live project experience in cutting-edge technologies which they teach. We hire only the Best Deep Learning industry specialists as trainers for our Deep Learning Certification Training in Electronic City Bangalore.
If you are looking for Deep Learning Certification Course in Electronic City Bangalore, eMexo Technologies is the Best Deep Learning Training Institute in Electronic City Bangalore. Come over to our training institute for a free demo class. Let our trainer give you a demo on Deep Learning and only then do you make the decision to enroll in the training program.
Deep Learning Course in Electronic City Bangalore Key Features
eMexo Technologies offers Best Deep Learning Course in Electronic City Bangalore with the TOP industry expert trainers. Here are the key features.
- Free Demo Class Available
- Practical Approach
- Expert & Certified Trainers
- High Quality Training
- 100% Job Oriented Training
- Real World use cases and Scenarios
- Completed 400+ Batches
- Certification Guidance
Why should you take Deep LearningTraining in Electronic City Bangalore?
- Deep Learning course helps you to learn each and every fundamental details about Deep Learning.
- As a leading provider of IT training, we offer a transformative learning experience that equips you with the skills to master Deep Learning.
- DevOps market revenues are expected to grow from USD 6.85 Billion in 2020 to USD 179.96 Billion by 2030, at a Compound Annual Growth Rate (CAGR) of 39.2%.
- It is reported that most of the companies in world such as Google, Amazon, IBM, Intel, Infosys, HCL are using Deep Learning in their technology stack.
- According to Payscale.com, the average salary of a Deep Learning Engineer is about 8,00,000 INR in India.
Deep Learning Certification Training in Electronic City Bangalore Description:
This Deep Learning training course in Electronic City Bangalore is specifically designed for:
- Fresh Graduates and Aspiring IT Professionals
- Aspiring Data Scientists
- Software Engineers and Developers
- Computer Vision Enthusiasts
- Natural Language Processing (NLP) Enthusiasts
- AI and Machine Learning Professionals
- Anyone Passionate About AI
After completing the Deep Learning training course in Electronic City Bangalore, you will be expert in:
- Neural Networks Fundamentals
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Deep Learning Libraries
- Natural Language Processing (NLP)
- Transfer Learning
- Model Deployment
- Computer Vision Techniques
The Deep Learning Training Institute in Electronic City Bangalore does not require any prerequisites for taking a Deep Learning Certification Course in Electronic City Bangalore. The following skills are only considered as an additional benefit for studying the eMexo Technologies Deep Learning certification course.
- Basic Programming Knowledge
- Mathematical Basics
Don’t worry if you don’t have the above pre-requisites. Our experienced professional trainers will help each participant become a Deep Learning expert and reach their dream destination quickly through theoretical and hands-on training, real-time live projects and use cases.
In today’s tech-driven era, the Importance of eMexo Technologies Deep Learning Training Course in Electronic City Bangalore, cannot be overstated. Our comprehensive program equips participants with cutting-edge skills in neural networks, computer vision, natural language processing, and more. As AI continues to reshape industries, our training ensures you stay at the forefront of technological advancements. Gain a competitive edge in the job market, as deep learning professionals are in high demand. Enroll now and unlock the potential to create innovative AI solutions and shape the future of technology.
Deep Learning Certification
Deep Learning Certification
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Course Content
- Structure and Working of Deep Learning
- Detailed explanation about Perceptron
- Different Activation functions
- Introduction to TensorFlow
- What is the computational graph?
- Basic TensorFlow coding and graph visualization
- Brief introduction about Variables, Constants, and Place Holders
- Creating a simple TensorFlow model
- Hands-on: Build a classification model using TensorFlow
- Different layers in the Neural network
- Understanding Neural Networks in Detail
- Introduction to Multi-layer Perceptron
- What is Forward propagation and Backpropagation?
- Build a Multi-layer perceptron model using TensorFlow
- Familiarise with using Tensor Board
- Hands-on: Build a deep neural network to classify digits in the MNIST dataset
- What is a Deep Neural Network?
- How did Deep Neural Network help to increase accuracy?
- Understanding the working of Deep Neural Networks
- What are Weight and Bias, and how it is getting updated?
- How gradient descent is useful to update parameters?
- Types of Deep Networks
- Hands-on: Building a classification model using a Multi-layered perceptron.
- Introduction to RNN
- How RNN is different from other Neural Network models
- Structure and working of RNN
- Exploding and Vanishing Gradient descent problem
- Long Short-Term Memory (LSTM)
- How did LSTM overcome the problem of Vanishing Gradient descent?
- Real-time use cases of LSTM
- Hands-on: Building an RNN model to predict the next word in the sentence.
- Introduction to Keras
- How to build a Model in Keras using TensorFlow backend
- Sequential and Functional Composition
- Explaining Predefined Neural Network Layers
- What is Batch Normalization?
- How to save and load a model
- Using TensorBoard with Keras
- Hands-on: Building an image classification model using Keras
- Introduction to TFLearn
- How to build a Model in TFLearn using TensorFlow backend
- Sequential and Functional Composition
- Explaining Predefined Neural Network Layers
- What is Batch Normalization?
- How to save and load a model
- Using TensorBoard with TFLearn
- Hands-on: Building a Neural network model to classify the digits in the MNIST dataset using TFLearn
